def shape_to_np_dlib()

in face_align/landmarks_detector_dlib.py [0:0]

• 5 lines of code
• 3 McCabe index (conditional complexity)

def shape_to_np_dlib(shape, dtype="int"):
    # initialize the list of (x, y)-coordinates
    coords = np.zeros((shape.num_parts, 2), dtype=dtype)
    # loop over all facial landmarks and convert them
    # to a 2-tuple of (x, y)-coordinates
    for i in range(0, shape.num_parts):
        coords[i] = (shape.part(i).x, shape.part(i).y)
    # return the list of (x, y)-coordinates
    return coords